Effy Vayena

TL;DR: In this article, a global convergence emerging around five ethical principles (transparency, justice and fairness, non-maleficence, responsibility and privacy), with substantive divergence in relation to how these principles are interpreted, why they are deemed important, what issue, domain or actors they pertain to, and how they should be implemented.

TL;DR: A global convergence emerging around five ethical principles (transparency, justice and fairness, non-maleficence, responsibility and privacy), with substantive divergence in relation to how these principles are interpreted; why they are deemed important; what issue, domain or actors they pertain to; and how they should be implemented.

TL;DR: The core opportunities and risks of AI for society are introduced; a synthesis of five ethical principles that should undergird its development and adoption are presented; and 20 concrete recommendations are offered to serve as a firm foundation for the establishment of a Good AI Society.

TL;DR: There is a need to sensitize developers, healthcare professionals, and legislators to the challenges and limitations of opaque algorithms in medical AI and to foster multidisciplinary collaboration moving forward to ensure that medical AI lives up to its promises.

TL;DR: Large-scale collection of data could help curb the COVID-19 pandemic, but it should not neglect privacy and public trust.